US2026012698A1PendingUtilityA1

Information processing apparatus, image capturing system, method, and non-transitory computer-readable storage medium for selecting a trained model

Assignee: CANON KKPriority: Oct 26, 2021Filed: Sep 15, 2025Published: Jan 8, 2026
Est. expiryOct 26, 2041(~15.2 yrs left)· nominal 20-yr term from priority
Inventors:KONNO YU
H04N 23/61G06V 10/70G06V 10/945G06V 10/87G06V 10/255H04N 23/63H04N 23/617G06V 10/82H04N 23/632
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Claims

Abstract

A display unit switches which trained model, among a plurality of trained models whose granularities of detection for an object to be detected from an image are different from each other, is a trained model of interest, and displays on a screen a result of detection by the trained model of interest. A determination unit determines an object on which a predetermined process is to be performed based on a user operation on the result of detection by the trained model of interest.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . An information processing apparatus comprising:
 a display unit configured to switch which trained model, among a plurality of trained models whose granularities of detection for an object to be detected from an image are different from each other, is a trained model of interest, and display on a screen a result of detection by the trained model of interest;   a processor; and   a memory, including instructions stored thereon, which when executed by the processor, cause the apparatus to:
 determine an object on which a predetermined process is to be performed based on a user operation on the result of detection by the trained model of interest, 
   wherein the plurality of trained models includes a first trained model for a first size of a region of interest for an object and a second trained model for a second size of a region of interest for the object smaller than the first size of the region of interest for the object of the first trained model, and display of the display unit is switched from a display corresponding to the first trained model to a display corresponding to the second trained model.

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